NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Kim, Hyounghun – ProQuest LLC, 2022
Since most worldly phenomena can be expressed via language, language is a crucial medium for transferring information and integrating multiple information sources. For example, humans can describe what they see, hear and feel, and also explain how they move with words. Conversely, humans can imagine scenes, sounds, and feelings, and move their…
Descriptors: Video Technology, Task Analysis, Language Role, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Mughaz, Dror; Cohen, Michael; Mejahez, Sagit; Ades, Tal; Bouhnik, Dan – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student's grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence…
Descriptors: Artificial Intelligence, Teaching Methods, Brain Hemisphere Functions, Grammar
Peer reviewed Peer reviewed
Direct linkDirect link
Dooly, Melinda; Tudini, Vincenza – Classroom Discourse, 2022
This paper takes a multimodal conversation analytic approach to explore knowledge-in-interaction in a technology-mediated online environment (Skype videoconference) during a meeting between eight university students studying to become language teachers. The analysis considers the ways in which the student-teachers demonstrate their knowledge or…
Descriptors: Videoconferencing, Student Teachers, Information Seeking, Discourse Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Rodríguez-Castro, Mónica – Interpreter and Translator Trainer, 2018
Increasing project complexity and a high level of specialization in the language industry have resulted in a demand for translation professionals with sophisticated technical skills. This has made computer-assisted translation (CAT) tools indispensable for translators in order to meet project requirements. With a rapidly changing industry…
Descriptors: Translation, Computational Linguistics, Outcomes of Education, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Moorkens, Joss – Interpreter and Translator Trainer, 2018
Machine translation is currently undergoing a paradigm shift from statistical to neural network models. Neural machine translation (NMT) is difficult to conceptualise for translation students, especially without context. This article describes a short in-class evaluation exercise to compare statistical and neural MT, including details of student…
Descriptors: Translation, Teaching Methods, Computational Linguistics, Quality Assurance
Peer reviewed Peer reviewed
Direct linkDirect link
Thompson, Ian – Australian Senior Mathematics Journal, 2017
In this paper, an example is offered of a problem-solving task for senior secondary school students which was given in the context of a story. As the story unfolds, the task requires progressively more complex forms of linear programming to be applied. Coding in MATLAB is used throughout the task in such a way that it supports the increasing…
Descriptors: Foreign Countries, Programming, High School Seniors, Mathematics Education
Peer reviewed Peer reviewed
Direct linkDirect link
Ebadi, Saman; Rahimi, Masoud – Computer Assisted Language Learning, 2019
Drawing on Vygotskian sociocultural theory of mind and social constructivism, and adopting a sequential exploratory mixed-methods approach, this study explored the impact of online dynamic assessment (DA) on EFL learners' academic writing skills through one-on-one individual and online synchronous DA sessions over Google Docs. It also investigated…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Sociocultural Patterns